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Data modelling at Europeana and DM2E - SMW13


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Presentation on how the Eduorpeana Data Model is used and extended in the Europeana and DM2E projects.
Made for the Semantic Media Web innovation day, Berlin, Sept 27, 2013:

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Data modelling at Europeana and DM2E - SMW13

  1. 1. Data modelling at Europeana and DM2E Building and using networks of metadata vocabularies Antoine Isaac - Stefan Gradmann Europeana- KU Leuven Semantic Media Web, Berlin, Sept. 27, 2013
  2. 2., Europe’s cultural heritage portal Museums National Aggregators Regional Aggregators Archives Thematic collections Libraries 29M objects from 2,200 European galleries, museums, archives and libraries
  3. 3., Europe’s cultural heritage portal Text Image Video Sound 3D
  4. 4. Europeana Data Model: a Collaborative Effort Cross-community development  Involving library, archive and museum experts  Ca. 60 participants
  5. 5. EDM: an example
  6. 6. Provided Cultural Heritage Object (CHO) and descriptive metadata
  7. 7. Web Resources – digital representations
  8. 8. Contextual Resources – Places
  9. 9. EDM is based on existing ontologies  OAI-ORE (Open Archives Initiative Object Reuse & Exchange): organizing an object’s metadata and digital representation(s)  Dublin Core : descriptive metadata  SKOS (Simple Knowledge Organization System) : conceptual vocabulary representation  CIDOC-CRM : event and relationships between objects
  10. 10. Allowing different semantic grains The theory:  Providers provide data close to original models  Using mappings to more interoperable level statement at generic level statement at specific level
  11. 11. Different semantic grains  EDM uses specialization of classes and properties.  It will enable the definition of extensions, “applications profiles” answering to the need of specific communities.
  12. 12. A Collaborative Effort (2) EDM makes Europeana ready to ingest metadata that is closer to specific community concerns  But still mapped to common elements Europeana & partners can develop EDM “profiles” upon which everyone could build specific functionality  Based on best practices from sector or domain level
  13. 13. Disclaimer: coming slides adapted from a presentation by Steffen Hennicke Berlin School of Library and Information Science
  14. 14. Digitised Manuscripts to Europeana • EU project (2012-2015), • Germany, Austria, Norway, Greece, UK, France, Italy • DM2E works on – tool for data migration to Europeana and Linked Data (OMNOM) – research environment for the Digital Humanities (PUNDIT) – community of cultural heritage professionals (OPENGLAM)
  15. 15. Content Islamic Scientific ManuscriptIslamic Scientific Manuscript Initiative (MPWIG)Initiative (MPWIG) Nietzsche Source –Nietzsche Source – DigitaleDigitale Faksimile GesamtausgabeFaksimile Gesamtausgabe (CRNS)(CRNS) American Joint DistributionAmerican Joint Distribution ComiteeComitee (EAJC)(EAJC) Codices andCodices and Complutensische PolyglotteComplutensische Polyglotte (ONB)(ONB) 118.000+ items with118.000+ items with 20.006.930+ pages20.006.930+ pages Wittgenstein Source (UiB)Wittgenstein Source (UiB)
  16. 16. DM2E Data Model • Semantically and structurally heterogeneous data – Complex hierarchies (EAD, METS) – Object data and transcriptions (TEI) – MARCXML, MAB2, etc. • DM2E’s Data Model specializes EDM for the domain of handwritten manuscripts
  17. 17. Specialization of EDM in DM2E - Example
  18. 18. Reuse of Existing Ontologies in DM2E • Types, roles and relations between agents – Friend-of-a-Friend (FOAF) : types of agents) – Publishing Roles Ontology (PRO) : roles of agents in the publication process – VIVO : types of agents • Detailed semantics on bibliographic entities – FRBR-aligned Bibliographic Ontology (FaBiO) – Citation Typing Ontology (CiTO) – Bibliographic Ontology (BIBO)
  19. 19. Guidelines for Specialising EDM • Empirical analysis of source metadata • Iterative mappings to the EDM • Close cooperation with data providers for feedback and revisions • Create new classes or properties only if there is no other suitable option available from existing ontologies
  20. 20. Thank you Antoine Isaac , Stefan Gradmann ,